Observer-based decentralized adaptive control for large-scale nonlinear systems with mixed dynamic interaction |
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| Institution: | 1. School of Mathematics Science, Liaocheng University, Liaocheng 252000, PR China;2. School of Electrical and Information Engineering, Anhui University of Technology, Maanshan 243002, PR China;3. College of Computer Science and Technology, Qingdao University, Qingdao 266071, PR China;1. School of Mathematical Sciences, Liaocheng University, Liaocheng, Shandong 252059, PR China;2. School of Electrical and Automation Engineering, Nanjing Normal University, Nanjing 210094, PR China;1. School of Electronic and Information Engineering, University of Science and Technology Liaoning, Anshan, Liaoning 114051, China;2. Faculty of Engineering, Lakehead University, Thunder Bay P7B 5E1, Canada;1. School of Mathematics Science, Liaocheng University, Liaocheng 252000, China;2. School of Electrical and Information Engineering, Anhui University of Technology, Maanshan 243002, China;3. College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao 266590, China |
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| Abstract: | The problem of decentralized adaptive control is investigated for a class of large-scale nonstrict-feedback nonlinear systems subject to dynamic interaction and unmeasurable states, where the dynamic interaction is related to both input and output items. First, the fuzzy logic system is utilized to tackle unknown nonlinear function with nonstrict-feedback structure. Then, by combining adaptive and backstepping technology, the proper output feedback controller is designed. Meanwhile, a fuzzy state observer is proposed to estimate the unmeasurable states. The proposed controller could guarantee that all the signals of the resulting closed-loop systems are bounded. Finally, the applicability of the proposed controller is well carried out by a simulation example. |
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